Prasenjit Mitra
Papers
1
Total Citations
13
H-Index
1
About
Prasenjit Mitra is a leading researcher in artificial intelligence and robotics, with a primary focus on enabling mobile robots to operate intelligently in dynamic, human-centric environments. His work centers on task-agnostic object recognition, few-shot learning, and robust visual perception—critical areas for robots that must navigate unpredictable settings and assist humans with daily tasks. Mitra’s major contribution lies in developing methods that allow robots to recognize both known and novel objects without exhaustive pre-training, addressing a fundamental limitation of traditional deep learning approaches. His highly cited 2020 paper on few-shot image matching for mobile robots, which has garnered 13 citations, demonstrates a practical framework for real-time object recognition in complex, cluttered scenes. This work is notable for its potential to bridge the gap between controlled laboratory conditions and real-world deployment, where robots encounter unfamiliar objects and environments. Mitra’s research has significant implications for service robotics, autonomous navigation, and human-robot interaction, making him a key figure in advancing the adaptability and intelligence of mobile robotic systems.
Research Focus
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Top Papers
- 1